Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces

Li, Dongsheng; Liu, Jiepeng; Feng, Liang; Zhou, Yang; Liu, Pengkun; Chen, Y. Frank

doi:10.1016/j.measurement.2019.107436

Cited by 41 publications

(35 citation statements)

References 25 publications

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“…Several studies using TLS for the surface flatness inspection on floors and concrete slabs have been introduced. The previous studies can be divided into two categories: (1) surface flatness inspection following some guidelines such as the F-numbers method [19,20] and (2) surface flatness inspection focusing on visual representation without following the standard documents to reflect surface flatness conditions [5,6,8,14,21].…”

Section: Surface Flatness Inspection Methods Using Tlsmentioning

confidence: 99%

“…However, the method presented in the study used a one-centimeter size of slicing, which is too sparse to perform accurate surface flatness inspection on the finished wall. Li et al [6] presented another study for slabs and floors. In the study, similar to [5], elevation deviations between each scan point and the fitted plane generated from the collected scan points were calculated, and a color-coded deviation map was then used to display the elevation deviations with different colors.…”

Section: Surface Flatness Inspection Methods Using Tlsmentioning

confidence: 99%

“…Surface flatness is essential for dimensional quality inspection of construction elements and floors both during and after the manufacturing and construction stages in the construction industry [1][2][3][4]. This is because concrete surfaces with unacceptable deviations exceeding their specific tolerances may adversely affect both aesthetic and functional performances of the structure [3,5,6]. In addition, non-flat concrete surfaces may result in a poor connection between adjacent construction elements, leading to long term structural problems [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range

Kim

et al. 2021

Remote Sensing

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Surface flatness is an important indicator for the quality assessment of concrete surfaces during and after slab construction in the construction industry. Thanks to its speed and accuracy, terrestrial laser scanning (TLS) has been popularly used for surface flatness inspection of concrete slabs. However, the current TLS based approach for surface flatness inspection has two primary limitations associated with scan range and occluded area. First, the areas far away from the TLS normally suffer from inaccurate measurement caused by low scan density and high incident angle of laser beams. Second, physical barriers such as interior walls cause occluded areas where the TLS is not able to scan for surface flatness inspection. To address these limitations, this study presents a new method that employs flat mirrors to increase the measurement range with acceptable measurement accuracy and make possible the scanning of occluded areas even when the TLS is out of sight. To validate the proposed method, experiments on two laboratory-scale specimens are conducted, and the results show that the proposed approach can enlarge the scan range from 5 m to 10 m. In addition, the proposed method is able to address the occlusion problem of the previous methods by changing the laser beam direction. Based on these results, it is expected that the proposed technique has the potential for accurate and efficient surface flatness inspection in the construction industry.

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Section: Surface Flatness Inspection Methods Using Tlsmentioning

confidence: 99%

Section: Surface Flatness Inspection Methods Using Tlsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range

Kim

et al. 2021

Remote Sensing

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“…The most researched topics related to surface quality inspection can be grouped into flatness assessment and structural damage identification. In general, there are two common methods for surface flatness inspection that can be found in previous studies: (1) following quantitative indexes defined in relevant standards such as the F-numbers method [ 163 , 172 ]; or (2) setting up a reference plane and calculating the deviations between surface points and the reference plane [ 162 , 170 ]. On the other hand, the majority of papers on structural damage identification are focused on surface cracks [ 89 , 98 , 99 , 104 , 144 , 171 , 174 , 175 ], spalling [ 75 , 89 ], corrosion [ 161 ], water leakage [ 173 ], and concrete loss [ 160 , 166 ].…”

Section: Research Topics Related To Tls In the Aec Industrymentioning

confidence: 99%

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

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“…In recent years, terrestrial laser scanning technology has been widely used in different fields such as three-dimensional modeling, heritage protection, deformation monitoring, and forest structure investigation [13]. Experiments using TLS for continuous monitoring and analysis of building structural component damage demonstrate its effectiveness in structural modeling and analysis applications [14,15]; scanning assessment and 3D modeling of ancient buildings using TLS propose effective solutions for the conservation and maintenance of ancient buildings [16]; in civil engineering applications, high precision data obtained by TLS in combination with least squares are used for the quality assessment of building plane regularity [17]; scholars applied "alpha shapes algorithm" to LiDAR data contour line extraction and regularization for buildings and demonstrated the accuracy of the algorithm in LiDAR point cloud data extraction for building contour lines [18,19]; in postearthquake building loss analysis, scholars proposed a building shape analysis model based on ground-based Li-DAR data, which effectively solved the problems of building contour polygon sequence extraction, shape discrete parameter extraction, irregular building block division, and earthquake damage analysis [20,21]. In terms of judging the degree of postearthquake building damage in the regional spatial context, scholars proposed a model based on texture extraction and fuzzy system analysis of postearthquake airborne LiDAR data, which effectively solved the problem of judging the degree of postearthquake building damage [22].…”

Section: Introductionmentioning

confidence: 99%

A Model Study of Building Seismic Damage Information Extraction and Analysis on Ground‐Based LiDAR Data

Yang

Wen

Wang

et al. 2021

Advances in Civil Engineering

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Earthquake disasters can have a serious impact on people’s lives and property, with damage to buildings being one of the main causes of death and injury. A rapid assessment of the extent of building damage is essential for emergency response management, rescue operations, and reconstruction. Terrestrial laser scanning technology can obtain high precision light detection and ranging (LiDAR) point cloud data of the target. The technology is widely used in various fields; however, the quantitative analysis of building seismic information is the focus and difficulty of ground-based LiDAR data analysis processing. This paper takes full advantage of the high-precision characteristics of ground-based LiDAR data. A triangular network vector model (TIN-shaped model) was created in conjunction with the alpha shapes algorithm, solving the problem of small, nonvisually identifiable postearthquake building damage feature extraction bias. The model measures the length, width, and depth of building cracks, extracts the amount of wall tilt deformation, and labels the deformation zone. The creation of this model can provide scientific basis and technical support for postearthquake emergency relief, assessment of damage to buildings, extraction of deformation characteristics of other structures (bridges, tunnels, dams, etc.), and seismic reinforcement of buildings. The research data in this paper were collected by the author’s research team in the first time after the 2013 Lushan earthquake and is one of the few sets of foundation of LiDAR data covering the full range of postearthquake building types in the region, with the data information mainly including different damage levels of different structural types of buildings. The modeling analysis of this data provides a scientific basis for establishing the earthquake damage matrix of buildings in the region.

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Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces

Cited by 41 publications

References 25 publications

Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range

Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

A Model Study of Building Seismic Damage Information Extraction and Analysis on Ground‐Based LiDAR Data

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